US2013073379A1PendingUtilityA1
Method and apparatus for internet customer retention
Est. expiryMar 13, 2020(expired)· nominal 20-yr term from priority
G06Q 30/0211G06Q 30/0222G06Q 30/0254G06Q 30/0269G06Q 30/0204G06Q 30/02G06Q 30/0253
59
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Claims
Abstract
A method of dynamically optimizing customer retention for a web marketing site is provided. That method includes specifying a permissible defunct threshold, specifying a range of offers to be included in a set of promotions, determining a probability that a customer will become defunct in a predetermined period of time since the last interaction of that customer with the web site, and providing a promotion to a customer if the probability that the customer will become defunct in the predetermined period of time since the last interaction of that customer with the web site is greater than a predetermined threshold.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method of dynamically optimizing customer retention for a web marketing site, comprising:
specifying a permissible defunct threshold; specifying a range of offers to be included in a set of promotions; determining a probability that a customer will become defunct in a predetermined period of time since the last interaction of that customer with the web site; and providing a promotion to a customer if the probability that the customer will become defunct in the predetermined period of time since the last interaction of that customer with the web site is greater than a predetermined threshold.
2 . The method of claim 1 , further comprising segmenting the sample population based on a characteristic of the customers sampled.
3 . The method of claim 2 , wherein the characteristic is an amount that the customers spent at the web site in the past.
4 . The method of claim 1 , wherein the last interaction includes accessing the web site.
5 . The method of claim 1 , wherein the last interaction includes making a purchase from the web site.
6 . The method of claim 1 , further comprising maximizing profit by optimizing an amount of discount offered in the promotion.
7 . The method of claim 6 , wherein optimizing is performed continuously.
8 . The method of claim 6 ,
wherein optimizing includes sampling responses received from customers that are offered promotions of varying amounts; and optimizing the promotion amount provided to other customers based on the optimum promotion amount discovered in the sample.
9 . The method of claim 1 , wherein data related to whether a customer has interfaced with the web site is stored in the database.
10 . The method of claim 1 , wherein an amount spent by a customer is stored in a database.
11 . The method of claim 9 , wherein a customer is segmented for random sampling based on the amount spent by that customer.Cited by (0)
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